{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/xpmiki/Dropbox/esaiasson/replicationData/e27r.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}10 Sep 2016, 01:00:41
{txt}
{com}. clear 
{txt}
{com}. set more off
{txt}
{com}. use "charity field1.dta"
{txt}
{com}. 
. gen t = .
{txt}(614 missing values generated)

{com}. replace t = 5 if beslutsform == 1
{txt}(67 real changes made)

{com}. replace t = 5 if beslutsform == 2
{txt}(61 real changes made)

{com}. replace t = 0 if beslutsform == 3
{txt}(54 real changes made)

{com}. replace t = 0 if beslutsform == 4
{txt}(59 real changes made)

{com}. replace t = 1 if beslutsform == 5
{txt}(71 real changes made)

{com}. replace t = 5 if beslutsform == 6
{txt}(75 real changes made)

{com}. replace t = 5 if beslutsform == 7
{txt}(68 real changes made)

{com}. replace t = 5 if beslutsform == 8
{txt}(68 real changes made)

{com}. replace t = 5 if beslutsform == 9
{txt}(82 real changes made)

{com}. 
. drop if t == 5
{txt}(421 observations deleted)

{com}. 
. set seed  358395
{txt}
{com}. sem (d2 <-  t  wl p)(p <-  t  wl)   , vce(cluster klassnummer)
{res}{txt}(2 observations with missing values excluded)

Endogenous variables

{p 0 11 2}Observed:{space 2}{res}d2 p{p_end}
{txt}
Exogenous variables

{p 0 11 2}Observed:{space 2}{res}t wl{p_end}
{txt}
Fitting target model:

Iteration 0:{space 3}log pseudolikelihood = {res:-275.56125}  
Iteration 1:{space 3}log pseudolikelihood = {res:-275.56125}  

Structural equation model{col 49}Number of obs{col 67}= {res}       182
{col 1}{txt}Estimation method{col 20}= {res}ml
{col 1}{txt}Log pseudolikelihood{col 20}= {res}-275.56125

{txt}{ralign 78:(Std. Err. adjusted for {res:9} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d2 <-     {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2} .2206495{col 26}{space 2} .0421715{col 37}{space 1}    5.23{col 46}{space 3}0.000{col 54}{space 4} .1379949{col 67}{space 3} .3033042
{txt}{space 11}t {c |}{col 14}{res}{space 2} -.014594{col 26}{space 2} .0459665{col 37}{space 1}   -0.32{col 46}{space 3}0.751{col 54}{space 4}-.1046867{col 67}{space 3} .0754987
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1249414{col 26}{space 2} .0406496{col 37}{space 1}    3.07{col 46}{space 3}0.002{col 54}{space 4} .0452697{col 67}{space 3}  .204613
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6185682{col 26}{space 2} .0480379{col 37}{space 1}   12.88{col 46}{space 3}0.000{col 54}{space 4} .5244156{col 67}{space 3} .7127208
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2}-.0647374{col 26}{space 2} .0846938{col 37}{space 1}   -0.76{col 46}{space 3}0.445{col 54}{space 4}-.2307341{col 67}{space 3} .1012594
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1267529{col 26}{space 2} .0424833{col 37}{space 1}    2.98{col 46}{space 3}0.003{col 54}{space 4} .0434871{col 67}{space 3} .2100187
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6100373{col 26}{space 2} .0636661{col 37}{space 1}    9.58{col 46}{space 3}0.000{col 54}{space 4}  .485254{col 67}{space 3} .7348205
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    var(e.d2){c |}{col 14}{res}{space 2} .0485255{col 26}{space 2} .0135868{col 54}{space 4}  .028031{col 67}{space 3} .0840042
{txt}     var(e.p){c |}{col 14}{res}{space 2} .0883861{col 26}{space 2} .0083246{col 54}{space 4} .0734875{col 67}{space 3} .1063051
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat ic

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}       182{col 27}        .{col 38}-275.5612{col 49}     8{col 58} 567.1225{col 69} 592.7546
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. estat teffects 
{res}

{txt}Direct effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:9} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d2 <-     {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2} .2206495{col 26}{space 2} .0421715{col 37}{space 1}    5.23{col 46}{space 3}0.000{col 54}{space 4} .1379949{col 67}{space 3} .3033042
{txt}{space 11}t {c |}{col 14}{res}{space 2} -.014594{col 26}{space 2} .0459665{col 37}{space 1}   -0.32{col 46}{space 3}0.751{col 54}{space 4}-.1046867{col 67}{space 3} .0754987
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1249414{col 26}{space 2} .0406496{col 37}{space 1}    3.07{col 46}{space 3}0.002{col 54}{space 4} .0452697{col 67}{space 3}  .204613
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2}-.0647374{col 26}{space 2} .0846938{col 37}{space 1}   -0.76{col 46}{space 3}0.445{col 54}{space 4}-.2307341{col 67}{space 3} .1012594
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1267529{col 26}{space 2} .0424833{col 37}{space 1}    2.98{col 46}{space 3}0.003{col 54}{space 4} .0434871{col 67}{space 3} .2100187
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}


Indirect effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:9} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d2 <-     {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{space 11}t {c |}{col 14}{res}{space 2}-.0142843{col 26}{space 2} .0184396{col 37}{space 1}   -0.77{col 46}{space 3}0.439{col 54}{space 4}-.0504253{col 67}{space 3} .0218567
{txt}{space 10}wl {c |}{col 14}{res}{space 2}  .027968{col 26}{space 2} .0107738{col 37}{space 1}    2.60{col 46}{space 3}0.009{col 54}{space 4} .0068516{col 67}{space 3} .0490843
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{space 10}wl {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}


Total effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:9} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d2 <-     {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2} .2206495{col 26}{space 2} .0421715{col 37}{space 1}    5.23{col 46}{space 3}0.000{col 54}{space 4} .1379949{col 67}{space 3} .3033042
{txt}{space 11}t {c |}{col 14}{res}{space 2}-.0288783{col 26}{space 2} .0536223{col 37}{space 1}   -0.54{col 46}{space 3}0.590{col 54}{space 4}-.1339762{col 67}{space 3} .0762196
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1529093{col 26}{space 2}  .038804{col 37}{space 1}    3.94{col 46}{space 3}0.000{col 54}{space 4} .0768548{col 67}{space 3} .2289638
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2}-.0647374{col 26}{space 2} .0846938{col 37}{space 1}   -0.76{col 46}{space 3}0.445{col 54}{space 4}-.2307341{col 67}{space 3} .1012594
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1267529{col 26}{space 2} .0424833{col 37}{space 1}    2.98{col 46}{space 3}0.003{col 54}{space 4} .0434871{col 67}{space 3} .2100187
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *** indirect and direct - winning/losing
. cap program drop indireff
{txt}
{com}. program indireff, rclass
{txt}  1{com}. sem (d2 <-  t  wl p)(p <-  t  wl)   , vce(cluster klassnummer)
{txt}  2{com}.   estat teffects
{txt}  3{com}.   mat bi = r(indirect)
{txt}  4{com}.   mat bt = r(total)
{txt}  5{com}.   return scalar indir  = el(bi,1,3)
{txt}  6{com}.   return scalar total  = el(bt,1,3)
{txt}  7{com}. end 
{txt}
{com}. 
. set seed 358395
{txt}
{com}. bootstrap r(indir) r(total), reps(1000): indireff
{txt}(running indireff on estimation sample)

Bootstrap replications ({res}1000{txt})
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
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{res}
{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       182
{txt}{col 49}Replications{col 67}= {res}     1,000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indir)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}   Observed{col 26}   Bootstrap{col 54}         Norm{col 67}al-based
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_bs_1 {c |}{col 14}{res}{space 2}  .027968{col 26}{space 2} .0153437{col 37}{space 1}    1.82{col 46}{space 3}0.068{col 54}{space 4}-.0021051{col 67}{space 3}  .058041
{txt}{space 7}_bs_2 {c |}{col 14}{res}{space 2} .1529093{col 26}{space 2} .0376666{col 37}{space 1}    4.06{col 46}{space 3}0.000{col 54}{space 4} .0790842{col 67}{space 3} .2267344
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat bootstrap, percentile bc  

{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       182
{txt}{col 49}Replications{col 67}= {res}      1000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indir)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{col 1}{text}{hline 13}{c TT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 14}{text}{c |}    Observed{col 38}    Bootstrap
{col 14}{text}{c |}       Coef.{col 27}       Bias{col 38}    Std. Err.{col 51}  [95% Conf. Interval]
{col 1}{text}{hline 13}{c +}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 1}{text}       _bs_1{col 14}{c |}{result}{space 2} .02796797{col 27}{space 2} .0003113{col 38}{space 2} .01534367{col 51}{space 2} .0034003{col 63}{space 1} .0623222{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .0050483{col 63}{space 1} .0661199{col 73}{text}  (BC)
{col 1}{text}       _bs_2{col 14}{c |}{result}{space 2} .15290932{col 27}{space 2}   .00044{col 38}{space 2} .03766656{col 51}{space 2} .0777747{col 63}{space 1} .2275697{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .0763767{col 63}{space 1}  .227381{col 73}{text}  (BC)
{col 1}{text}{hline 13}{c BT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 0}(P){col 8}percentile confidence interval
{col 0}(BC){col 8}bias-corrected confidence interval

{com}. 
. *** indirect and direct - treatment
. cap program drop indireff
{txt}
{com}. program indireff, rclass
{txt}  1{com}. sem (d2 <- wl  t  p)(p <- wl  t )    , vce(cluster klassnummer)
{txt}  2{com}.   estat teffects
{txt}  3{com}.   mat bi = r(indirect)
{txt}  4{com}.   mat bt = r(total)
{txt}  5{com}.   return scalar indirect  = el(bi,1,3)
{txt}  6{com}.   return scalar total  = el(bt,1,3)
{txt}  7{com}. end
{txt}
{com}. 
. set seed 358395
{txt}
{com}. bootstrap r(indirect) r(total), reps(1000): indireff
{txt}(running indireff on estimation sample)

Bootstrap replications ({res}1000{txt})
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
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{res}
{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       182
{txt}{col 49}Replications{col 67}= {res}     1,000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indirect)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}   Observed{col 26}   Bootstrap{col 54}         Norm{col 67}al-based
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_bs_1 {c |}{col 14}{res}{space 2}-.0142843{col 26}{space 2} .0115002{col 37}{space 1}   -1.24{col 46}{space 3}0.214{col 54}{space 4}-.0368242{col 67}{space 3} .0082556
{txt}{space 7}_bs_2 {c |}{col 14}{res}{space 2}-.0288783{col 26}{space 2} .0377511{col 37}{space 1}   -0.76{col 46}{space 3}0.444{col 54}{space 4}-.1028692{col 67}{space 3} .0451126
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat bootstrap, percentile bc  

{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       182
{txt}{col 49}Replications{col 67}= {res}      1000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indirect)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{col 1}{text}{hline 13}{c TT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 14}{text}{c |}    Observed{col 38}    Bootstrap
{col 14}{text}{c |}       Coef.{col 27}       Bias{col 38}    Std. Err.{col 51}  [95% Conf. Interval]
{col 1}{text}{hline 13}{c +}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 1}{text}       _bs_1{col 14}{c |}{result}{space 2}-.01428427{col 27}{space 2}  .000048{col 38}{space 2} .01150016{col 51}{space 2}-.0396143{col 63}{space 1}  .006542{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-.0430782{col 63}{space 1} .0032768{col 73}{text}  (BC)
{col 1}{text}       _bs_2{col 14}{c |}{result}{space 2}-.02887831{col 27}{space 2} .0000913{col 38}{space 2} .03775114{col 51}{space 2}-.1008487{col 63}{space 1} .0453807{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} -.101932{col 63}{space 1} .0432251{col 73}{text}  (BC)
{col 1}{text}{hline 13}{c BT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 0}(P){col 8}percentile confidence interval
{col 0}(BC){col 8}bias-corrected confidence interval

{com}. 
. *** randomization check
. reg  t  gender interest ideology , robust

{txt}Linear regression                               Number of obs     = {res}       177
                                                {txt}F(3, 173)         =  {res}     2.18
                                                {txt}Prob > F          = {res}    0.0927
                                                {txt}R-squared         = {res}    0.0321
                                                {txt}Root MSE          =    {res} .48774

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}           t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}gender {c |}{col 14}{res}{space 2} .0056777{col 26}{space 2} .0815434{col 37}{space 1}    0.07{col 46}{space 3}0.945{col 54}{space 4}-.1552704{col 67}{space 3} .1666257
{txt}{space 4}interest {c |}{col 14}{res}{space 2} .2239811{col 26}{space 2} .1334199{col 37}{space 1}    1.68{col 46}{space 3}0.095{col 54}{space 4}-.0393594{col 67}{space 3} .4873215
{txt}{space 4}ideology {c |}{col 14}{res}{space 2} .3771462{col 26}{space 2} .1688632{col 37}{space 1}    2.23{col 46}{space 3}0.027{col 54}{space 4} .0438488{col 67}{space 3} .7104436
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1491363{col 26}{space 2} .1086022{col 37}{space 1}    1.37{col 46}{space 3}0.171{col 54}{space 4}-.0652197{col 67}{space 3} .3634923
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/xpmiki/Dropbox/esaiasson/replicationData/e27r.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}10 Sep 2016, 01:02:22
{txt}{.-}
{smcl}
{txt}{sf}{ul off}